
pmid: 22456237
Decolorization of water-insoluble Sudan dyes was studied with Shewanella oneidensis MR-1, which removed 66.8%, 43.4%, 56.0% and 33.7% Sudan I-IV in 104 h, respectively and reduced Sudan I to aniline and 1-amino-2-naphthol. Lactate was identified as the most efficient electron donor for Sudan I reduction. Improved reduction performance was obtained in the presence of higher lactate or biomass concentration. The correlation between specific reduction rate and initial Sudan I concentration could be described with Michaelis-Menten kinetics (V(max)=1.8 mg Sudan I mg cell(-1) h(-1) and K(m)=5.3 mg l(-1)). The addition of anthraquinone-2-sulfonate stimulated the reduction significantly whereas the presence of 2-hydroxy-1,4-naphthoquinone had little enhancing effect. The main azoreductase activity was found with membrane-bound proteins of MR-1 and no reduction occurred when Sudan I was incubated with cell extracts. These data indicated for the first time that Shewanella could reduce solid-phase Sudan dye particles.
Shewanella, Species Specificity, Color, Coloring Agents, Azo Compounds, Water Pollutants, Chemical, Water Purification
Shewanella, Species Specificity, Color, Coloring Agents, Azo Compounds, Water Pollutants, Chemical, Water Purification
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 32 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
